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Discrimination of components of audio signals based on multiscale spectro-temporal modulations
Discrimination of components of audio signals based on multiscale spectro-temporal modulations
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机译:基于多尺度频谱-时间调制的音频信号成分识别
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摘要
An audio signal (172) representative of an acoustic signal is provided to an auditory model (105). The auditory model (105) produces a high-dimensional feature set based on physiological responses, as simulated by the auditory model (105), to the acoustic signal. A multidimensional analyzer (106) orthogonalizes and truncates the feature set based on contributions by components of the orthogonal set to a cortical representation of the acoustic signal. The truncated feature set is then provided to classifier (108), where a predetermined sound is discriminated from the acoustic signal.
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